Multiple-Steps Step-Stress Accelerated Degradation Modeling R package MultiStepSSAD version 0.1.0 Implements statistical methods for multiple-steps step-stress accelerated degradation testing (SSADT) based on Wiener processes and Gamma processes as described by Pan and Balakrishnan (2010) <doi:10.1080/03610918.2010.496060>. Features maximum likelihood estimation (MLE), Bayesian Markov chain Monte Carlo (MCMC) sampling, Geweke convergence diagnostics, and reliability predictions under normal operating stress conditions. Software Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Shikhar Tyagi <shikhar1093tyagi@gmail.com> Comprehensive R Archive Network (CRAN) Shikhar Tyagi [aut, cre] (ORCID: <https://orcid.org/0000-0003-1606-0844>), Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut] GPL (>= 3) 2026-08-07 application/tgz https://CRAN.R-project.org/package=MultiStepSSAD doi:10.32614/CRAN.package.MultiStepSSAD